Synthesis of ZnS@QDs microparticles with synchronized scattering color-luminescence in submicron size: Application for direct-ink-writing PUF labels decoding by few-shot learning

The combination of high-precision structural color and luminescence was an effective way to improve encoding capacity. Hence, we synthesized ZnS@QDs (quantum dots) microparticles exhibiting synchronized size-dependent Mie scattering and tunable luminescence in submicron size. The loading of QDs onto ZnS microspheres not only enables uniform dispersion to prevent quenching but also enhances luminescence through Mie scattering. Macroscopic structural color patterns were fabricated by direct-ink-writing with ZnS microspheres suspension as ink, while the dots formed by ZnS@QDs microspheres were inserted randomly. Meanwhile, the stochastic distribution of microparticles during ink evaporation generated physically unclonable functions (PUF) codes with a capacity of up to 2<sup>2,500</sup> within 50 μm areas. ResNet-based few-shot machine learning, achieved 100% authentication accuracy with a minimal training set (21 samples). Meanwhile, open large language models (DeepSeek) enable rapid consistency assessments. In addition, the labels demonstrate long-term stability (&gt;6 months), customizable colors, and compatibility with flexible substrates, offering potential applications.

Authors

Publication Details

Journal
Nano Research
Published
2025-10-22
DOI
https://doi.org/10.26599/nr.2025.94908189
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthesis of ZnS@QDs microparticles with synchronized scattering color-luminescence in submicron size: Application for direct-ink-writing PUF labels decoding by few-shot learning

Suli Wu, Shufen Zhang, Tianyi Liu
Nano Research
Advanced biosensing and bioanalysis techniques
article

Synthesis of ZnS@QDs microparticles with synchronized scattering color-luminescence in submicron size: Application for direct-ink-writing PUF labels decoding by few-shot learning

Suli Wu, Shufen Zhang, Tianyi Liu
article en

Abstract

The combination of high-precision structural color and luminescence was an effective way to improve encoding capacity. Hence, we synthesized ZnS@QDs (quantum dots) microparticles exhibiting synchronized size-dependent Mie scattering and tunable luminescence in submicron size. The loading of QDs onto ZnS microspheres not only enables uniform dispersion to prevent quenching but also enhances luminescence through Mie scattering. Macroscopic structural color patterns were fabricated by direct-ink-writing with ZnS microspheres suspension as ink, while the dots formed by ZnS@QDs microspheres were inserted randomly. Meanwhile, the stochastic distribution of microparticles during ink evaporation generated physically unclonable functions (PUF) codes with a capacity of up to 2<sup>2,500</sup> within 50 μm areas. ResNet-based few-shot machine learning, achieved 100% authentication accuracy with a minimal training set (21 samples). Meanwhile, open large language models (DeepSeek) enable rapid consistency assessments. In addition, the labels demonstrate long-term stability (&gt;6 months), customizable colors, and compatibility with flexible substrates, offering potential applications.

Nano ResearchVol. 18(12)
Openalex Percentile: Top 73%
Advanced biosensing and bioanalysis techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.